--- title: Knowledge Graph Conference 2023 description: Richard Loveday will be speaking at the Knowledge Graph Conference 2023 in May at Cornell Tech in NYC. In the talk he will demo Graph.Build's capabilities. image: https://graph.build/hubfs/kgc.jpg --- [Skip to content](https://graph.build/blog/knowledge-graph-conference-2023#main) [![graph.build](https://graph.build/hubfs/raw_assets/public/graphbuild-theme/images/logo-secondary-reverse.svg)](https://graph.build/) Menu - Platform - AI context [Context for AI](https://graph.build/ai-context) [Semantic layer](https://graph.build/semantic-layer) [GraphRAG](https://graph.build/graphrag) [MCP & agent access](https://graph.build/mcp) [Ontologies explained](https://graph.build/resources/ontology) - Resources [Blog](https://graph.build/blog) [Graph fundamentals](https://graph.build/resources) [Documentation](https://graph.build/documentation) - Company [About us](https://graph.build/about) [Consulting](https://graph.build/consulting-services) [Contact](https://graph.build/contact) [Book a demo](https://graph.build/enquire/book-a-demo) Model [Studio](https://graph.build/graph-build-studio) [Visual graph modelling](https://graph.build/graph-modelling-tool) [Ontologies & vocabularies](https://graph.build/platform-architecture#ontology) Transform [Transformers](https://graph.build/graph-build-transformers) [Knowledge graph ETL](https://graph.build/knowledge-graph-etl) [Change data capture](https://graph.build/graph-build-transformers#cdc) Write [Writers](https://graph.build/graph-build-writer) [Database compatibility](https://graph.build/graph-databases) [Deployment](https://graph.build/platform-architecture#deployment) You are here [The graph engineering lifecycle](https://graph.build/knowledge-graph-building) Design, configure, engineer, iterate and automate graph model production: the whole lifecycle, without writing bespoke ingest code for each project. 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In the talk he will demo Graph.Build's capabilities. ![](https://app.hubspot.com/settings/avatar/d41d8cd98f00b204e9800998ecf8427e) Martin Dew · Apr 6, 2023 ![Knowledge Graph Conference 2023](https://graph.build/hubfs/kgc.jpg) The Knowledge Graph Conference 2023 is just around the corner, and we are excited to announce that Richard Loveday from Graph.Build will be giving a talk showcasing our [cutting-edge platform for automating graph data production](https://graph.build/platform-architecture). ![Knowledge Graph Conference 2023](https://d2k14tloeqh93s.cloudfront.net/venue_logo_0b47af7d-2512-451b-a509-916e2478ebf1.png) Knowledge Graphs are an increasingly important part of many industries, from finance and healthcare to social media and e-commerce. However, [creating and managing knowledge graphs can present many hurdles and resource drains](https://graph.build/blog/navigating-the-complexities-of-knowledge-graph-creation), requiring specialised knowledge and expertise. This is where Graph.Build breaks down these barriers and meets these challenges with ease. During his talk, Richard will showcase the features and capabilities of the [Graph.Build platform](https://graph.build/platform-architecture), and demonstrate how it can be used to build knowledge graphs from [data cleansing, transformation and loading](https://graph.build/knowledge-graph-etl) to collaborative graph model development and testing. He will explain how the tool works, and highlight some of the key benefits of using it, including increased efficiency, improved accuracy, removal of vendor lock and reduced costs. One of the most exciting aspects of Graph.Build is its ability to automatically produce graph data from a wide range of sources. Whether you have data in spreadsheets, databases, or other formats, Graph.Build can import and transform it into data for your graph model. In addition to its data import and transformation capabilities, Graph.Build also includes a powerful [graph model development UI](https://graph.build/graph-modelling-tool) which means that models can be created with no code. The platform handles both semantic and property graphs and has all the built-in features you need, plus the ability to customise when needed. Because the platform automates the lifecycle usually followed to develop a knowledge graph, continual improvement and optimisation becomes much simpler. This is particularly useful for dynamic industries in which models need to evolve in order to remain useful. If you are interested in learning more about the Graph.Build platform and how it can help your organisation to build and maintain knowledge graphs, be sure to attend Richard's talk at [KGC](https://graph.build/blog/what-is-the-knowledge-graph-conference) 2023. With its innovative features and powerful capabilities, Graph.Build is sure to be a game-changer in the world of knowledge graphs. Written by Martin Dew · Apr 6, 2023 [All posts](https://graph.build/blog) More from the blog ## Recently ### [![](https://graph.build/hubfs/gb3_hero_banner_final.webp) Studio Introducing Graph.Build Studio v3.2 Feb 11, 2026](https://graph.build/blog/introducing-graph-build-studio-v3-2) ### [![Graph Virtualization vs Materialization](https://graph.build/hubfs/unnamed%20(3).png) Knowledge Graph Resources Graph Virtualization vs Graph Materialization: Choosing the Right Approach for Your Data Feb 4, 2025](https://graph.build/blog/graph-virtualization-vs-graph-materialization) ### [![](https://graph.build/hubfs/unnamed%20(2).png) Studio Introducing the Latest Feature Release from Graph.Build Jan 27, 2025](https://graph.build/blog/introducing-v2.2) Platform [Studio](https://graph.build/graph-build-studio) [Transformers](https://graph.build/graph-build-transformers) [Writers](https://graph.build/graph-build-writer) [Database compatibility](https://graph.build/graph-databases) [Platform architecture](https://graph.build/platform-architecture) AI context [Context for AI](https://graph.build/ai-context) [Semantic layer](https://graph.build/semantic-layer) [GraphRAG](https://graph.build/graphrag) [MCP & agent access](https://graph.build/mcp) [Ontologies explained](https://graph.build/resources/ontology) Resources [Blog](https://graph.build/blog) [Graph fundamentals](https://graph.build/resources) [Choosing a graph database](https://graph.build/graph-databases) [How to build a knowledge graph](https://graph.build/knowledge-graph-building) [Documentation](https://graph.build/documentation) Company [About us](https://graph.build/about) [Consulting](https://graph.build/consulting-services) [Contact](https://graph.build/contact) Legal [Privacy policy](https://graph.build/privacy-policy) Get in touch No newsletter. 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[Contact us](https://graph.build/contact) - © 2026 Graph.Build · A trading name of Data Lens Labs Ltd, registered in England & Wales, company number 12483318 [![graph.build](https://graph.build/hubfs/raw_assets/public/graphbuild-theme/images/logo-secondary-reverse.svg)](https://graph.build/) ```json { "@context" : "https://schema.org", "@type" : "BlogPosting", "author" : { "@type" : "Person", "name" : "Martin Dew", "url" : "https://graph.build/blog/author/martin-dew" }, "dateModified" : "2023-05-03T18:28:22.091Z", "datePublished" : "2023-04-06T13:30:46.000Z", "headline" : "Knowledge Graph Conference 2023", "image" : [ "https://graph.build/hubfs/kgc.jpg" ], "mainEntityOfPage" : { "@id" : "https://graph.build/blog/knowledge-graph-conference-2023", "@type" : "WebPage" }, "publisher" : { "@type" : "Organization", "logo" : { "@type" : "ImageObject", "url" : "https://graph.build/hubfs/graph-build-logo-primary-1.svg" }, "name" : "Graph.Build" } } ``` ```json { "@context" : "http://schema.org", "@type" : "BlogPosting", "author" : { "@type" : "Person", "name" : "Martin Dew", "url" : "https://graph.build/blog/author/martin-dew" }, "dateModified" : "2023-04-06", "datePublished" : "2023-04-06", "description" : "Richard Loveday will be speaking at the Knowledge Graph Conference 2023 in May at Cornell Tech in NYC. 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